Abortion attitudes: An overview of demographic and ideological differences

Despite being a defining issue in the culture war, the relative importance of the psychological predictors of abortion attitudes are poorly understood. We address this oversight here by reviewing existing findings and providing new evidence for the demographic and ideological correlates of abortion support. Throughout our review, we integrate new analyses of several large-scale, cross-sectional, and longitudinal datasets to provide the most complete empirical examination of abortion attitudes to date. Our review and new analyses indicate that abortion support is increasing (modestly) over time in both the US and New Zealand. We also show that a plurality of respondents (43.8%) in the US indicate that they are “pro-choice” across various elective and traumatic scenarios, whereas only 14.8% report being consistently “pro-life” regardless of why an abortion is sought. Our review and new integrative analyses then demonstrate that age, religiosity, and conservatism correlate negatively, whereas Openness to Experience correlates positively, with abortion support. New analyses of heterosexual couples also reveal that women’s and men’s religiosity uniquely decreases their romantic partner’s abortion support. Finally, noting inconsistent gender differences in abortion support, we review evidence for the impact of traditional gender role attitudes and sexism on abortion support. Our review and theoretical analyses illustrate that, rather than misogyny, benevolent sexism—the belief that women should be cherished and protected—best explains abortion opposition. We conclude that demographic and ideological variables, along with attitudes that revere women and motherhood, continue to undermine women’s interpersonal, intergroup, and societal rights

Revising working models across time: Relationship situations that enhance attachment security

We propose the Attachment Security Enhancement Model (ASEM) to suggest how romantic relationships can promote chronic attachment security. One part of the ASEM examines partner responses that protect relationships from the erosive effects of immediate insecurity, but such responses may not necessarily address underlying insecurities in a person’s mental models. Therefore, a second part of the ASEM examines relationship situations that foster more secure mental models. Both parts may work in tandem. We posit that attachment anxiety should decline most in situations that foster greater personal confidence and more secure mental models of the self. In contrast, attachment avoidance should decline most in situations that involve positive dependence and foster more secure models of close others. The ASEM integrates research and theory, suggests novel directions for future research, and has practical implications, all of which center on the idea that adult attachment orientations are an emergent property of close relationships

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

AUCKLAND SYMPOSIUM: Connecting, Building Collaborations, and Generating New Ideas

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SPPS712030_suppl_mat - Does Partners’ Negative-Direct Communication During Conflict Help Sustain Perceived Commitment and Relationship Quality Across Time?

<p>SPPS712030_suppl_mat for Does Partners’ Negative-Direct Communication During Conflict Help Sustain Perceived Commitment and Relationship Quality Across Time? by Nickola C. Overall in Social Psychological and Personality Science</p

Partners’ attachment insecurity predicts greater physiological threat in anticipation of attachment-relevant interactions

© The Author(s) 2017. This study examined whether anticipating interacting with a partner higher in attachment insecurity predicted greater physiological threat in an emotion regulation context. Eighty-eight couples watched an emotionally negative film clip, prepared to discuss the video with their partner, and then engaged in a conversation. One dyad member (regulator) was randomly assigned to express versus suppress affective displays while his/ her partner (target) was given no additional instructions. Greater partner avoidance was associated with stronger physiological responses consistent with the experience of threat—sympathetic arousal coupled with increased vascular resistance—when regulators anticipated suppressing versus expressing affective displays. Greater partner anxiety was associated with greater physiological threat responses regardless of the emotion regulation context. Threat responses also manifested during the conversation: Regulators and targets with highly avoidant partners exhibited greater threat responses when suppressing versus expressing affective displays. Additionally, more insecure partners found the conversation more difficult. These data are the first to show that anticipating attachment-relevant interactions with more insecure partners elicit cardiovascular responses diagnostic of threat